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Lactate plays an important role as an alternative energy substrate, especially in conditions with a decreased utility of glucose. Proton-coupled monocarboxylate transporters (MCTs) are essential for the transport of lactate, ketone bodies, and other monocarboxylates through the plasma membrane and may contribute to the net transport of lactate through the placental barrier. The present study examined the expression profile and subcellular localization of MCTs in the mouse placenta. An in situ hybridization survey of all MCT subtypes detected intense mRNA expressions of MCT1, MCT4, and MCT9 as well as GLUT1 in the placenta from gestational day 11.5.The expression of MCT mRNAs decreased in the intensity at the end of gestation in contrast to a consistently intense expression of GLUT1 mRNA.Immunohistochemically, MCT1 and MCT4 showed a polarized localization on the maternal side and fetal side of the two cell-layered syncytiotrophoblast, respectively.The membrane-oriented localization of MCTs was supported by the coexistence of CD 147 which recruits MCT to the plasma membrane. However, the subcellular arrangement of MCT1 and MCT4 along the trophoblastic cell membrane was completely opposite of that in the human placenta. Although we cannot exactly explain the reversed localization of MCTs between human and murine placentas, it may be related to differences between humans and mice in the origin of lactate and its utilization by fetuses.3

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Development of efficient screening method coupled with cell functionality evaluation is highly needed in contemporary microbiology. The presented novel concept and fast non-destructive method brings in to play the water spectral pattern of the solution as a molecular fingerprint of the cell culture system. To elucidate the concept, NIR spectroscopy with Aquaphotomics were applied to monitor the growth of sixteen Lactobacillus bulgaricus one Lactobacillus pentosus and one Lactobacillus gasseri bacteria strains. Their growth rate, maximal optical density, low pH and bile tolerances were measured and further used as a reference data for analysis of the simultaneously acquired spectral data. The acquired spectral data in the region of 1100-1850nm was subjected to various multivariate data analyses – PCA, OPLS-DA, PLSR. The results showed high accuracy of bacteria strains classification according to their probiotic strength. Most informative spectral fingerprints covered the first overtone of water, emphasizing the relation of water molecular system to cell functionality.

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